arXiv — NLP / Computation & Language · · 3 min read

Lost in Reordering: Structural Sensitivity of Multilingual LLMs under Semantics-Preserving Perturbations

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Computer Science > Computation and Language

arXiv:2609.03511 (cs)
[Submitted on 3 Sep 2026]

Title:Lost in Reordering: Structural Sensitivity of Multilingual LLMs under Semantics-Preserving Perturbations

View a PDF of the paper titled Lost in Reordering: Structural Sensitivity of Multilingual LLMs under Semantics-Preserving Perturbations, by Karthika Nhayakkat and 6 other authors
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Abstract:Large Language Models (LLMs) demonstrate strong multilingual reasoning performance, yet their robustness to semantics-preserving structural variation remains underexplored, particularly for relatively free word-order languages. We investigate the structural sensitivity of multilingual LLMs using two linguistically grounded perturbation settings in Hindi and Malayalam: constrained constituent reordering and active-passive voice transformation. We introduce a benchmark dataset IndicReStruct, with two variants, GSM8K-Reordered and GSM8K-Voice, constructed from GSM8K while preserving semantic meaning. Across six state-of-the-art LLMs and multiple prompting strategies, we observe consistent and significant degradation in mathematical reasoning performance under structurally perturbed inputs. To further understand these failures, we perform qualitative error analysis and mechanistic interpretability experiments using residual-stream activation patching. Our analyses show that reasoning failures frequently arise from disruptions in entity-quantity alignment and that intermediate transformer layers contribute most strongly toward reasoning restoration. Overall, our findings suggest that current multilingual LLMs remain highly sensitive to surface syntactic realization and lack robust compositional invariance under structurally different but semantically equivalent inputs.
Comments: Accepted at EMNLP 2026 (Findings - Long paper)
Subjects: Computation and Language (cs.CL)
Cite as: arXiv:2609.03511 [cs.CL]
  (or arXiv:2609.03511v1 [cs.CL] for this version)
  https://doi.org/10.48550/arXiv.2609.03511
arXiv-issued DOI via DataCite (pending registration)

Submission history

From: N J Karthika [view email]
[v1] Thu, 3 Sep 2026 08:10:43 UTC (1,839 KB)
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